AI Change Mobile App Development | Intelligent Mobile app developer
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How Will AI Change Mobile App Development?

Mobile app development is heading on a path of revolution as we speak. With a lot of apps being made with AI and AR kept in mind artificial intelligence is creating an impact on business. Such advancements are inventive, interactive and expressly user-centric giving rise to some noteworthy mobile app development companies. AI in app development is promising and definitely feels like the crux of a bigger change that is already in motion.

The estimated market value is forecasted for AI is hitting a whopping 89 billion US dollars by 2025, as per Statista’s report.

AI is weaving its way into almost everything around us, slowly but surely. We have smart content on the websites, predictive analytics, context-aware computing, etc. and this isn’t even the ones that are making the noise in the industry. AI in app development knows the importance of human behavior and how even minuscule needs when satisfied could lead to co-dependence. Here is exactly where AI strikes, creating a base of users that will depend on artificial intelligence to assist them in their day to day lives. 

AI in app development has two facets. The first being customer’s increasing dependency on AI-based apps for task completion as well as assistance. While the second is on the other end of the spectrum with developers relying on AI to tinker with the code they build in a more creative fashion. If one looks at the reason behind the popularity of AI in app development, it turns out to be the ability to mold anything and everything with personalization.

The very idea of an app catering to a particular user’s needs makes it even more desirable. Think of it as a custom edition for a customer’s personal use, piques interest at the very least. While acting as a personalization tool AI learns on the job, gaining insights from each user’s searches, preferences, buying habits, etc. AI will enrich both front-end as well as back-end app experiences making them a lot more personal as it teaches machines to process information like a human brain. 

Apps that are built on artificial intelligence provide a unique experience to its users. This is possible since apps offer personal recommendations based on individual preferences as is learned over time via machine learning. Additionally, AI helps developers build multiple user-centric platforms via a single app.

These apps pay attention to the behavior of users and learning from them align products to their preferences. Apt examples of this can be seen in the food and beverage industry. For example, My Starbucks app provides users with rewards and suggests drinks that might be more to the liking of its user, while simultaneously advertising everything that’s new on the menu. Other similar examples of intelligent apps that we come across in daily life are Barista, Amazon Go, Taco Bot app.

AI broadens the horizon for app developers. App developers can now do more thanks to the flexibility AI provides, by deploying innovative code thus revolutionizing the way data is gathered and accessed by mobile users.

QR codes or Quick Response codes are an example of how a simple thing such as QR codes can be elevated to do so much more. These scannable white and black squares help transmit information to a user’s phone. With QR codes powered by AI, they can do so much more than just transmitting basic information. AI integrated QR codes could provide additional insights about the products, release dates for new versions all based on relevant data previously gathered data from the user. 

The future looks bright for app developers with a firm grasp of automated learning. As several mobile app development companies will be keen on having them onboard specifically for their creativity and awareness of this realm.  AI cannot slow down because the need for it is bigger than ever as it focuses on making lives easier through machine learning. AI helps keep users well informed by learning how users behave they can tend to their needs by predicting them through patterns. 

Here are some AI-based inventions that are finding their way into mobile app development companies:

  • Face Detection-

Besides unlocking your phones, as it’s widely popular, face detection serves a greater purpose for plenty of security apps. As a prominent feature in security and tracking based apps face detection helps secure confidential data and secure apps that contain data with vital information. Let’s breakdown face detection and what it really means. Face detection is a technology that not only detects a human face in a digital image or video format, while also presenting the function in different frames.

  • AI Chatbots-

Chatbots are everywhere, especially on the customer side they lately present themselves as the first line of contact. They form an effective channel between businesses and customers. Besides acting as conversational experience providers chatbots also improve their query response which each conversation. Chatbots are the new and evolved face of customer support services intelligently handling customer queries. 

  • Image and Voice Recognition-

AI and machine learning have made searching for things online via voice and images on a search engine possible. This streamlined process proves to be an asset for users and had prompted several businesses to integrate voice recognition, app localization and image recognition features thus improving user experience as well as the business conversion rate.

  • Strong App Authentication-

With more and more vital data online the need to secure it gains importance. Strong app authentication helps create an impenetrable security shield protecting your apps, online services, and end-users from the dark web. Such apps analyze user behavior and alert the customer about any impending threats and breaches. 

  • Landmark Detection-

Image recognition is rapidly gaining momentum. It’s of great use in identifying a photo as a possible landmark against the visual match and geolocation data. Landmark detection puts focus on instance-level and fine-grained recognition issues. Thereby improving image analysis, security, and self-learning with every use case. 

AI cannot be thought of as just a work tool, it has evolved into a lot more already. AI has penetrated our personal lives as well, with transitions being made to our homes as we now call them ‘smart homes’. AI now suggests the music you ‘would like to hear’, the things you ‘would like to shop’, the light settings you ‘would prefer’ on a Friday evening.

As iterated earlier, AI is making an impact with the tiniest of hints and suggestions. When looked at this data collectively over large masses AI is creating an impact on a plethora of businesses each and every day.

Artificial Intelligence has had a huge impact on businesses and on customers worldwide, even then so has barely scratched the surface. The possibilities of AI in app development are limitless and can be the herald of an entirely new era in the world of technological advancements. 

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